Research evidence
Abdul Latif Jameel Clinic for Machine Learning in Health · Massachusetts Institute of Technology
← Back to the lab profilePublications & preprints
Papers by the lab’s listed researchers in Health AI Central’s research database, newest first.
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- Non-Perturbative Bacterial Identification Directly From Solid Agar Plates Using Raman Micro-Spectroscopy and Machine Learning.PubMed ↗
Lab researcherLoza Tadesse
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- Author Correction: Large language models are powerful electronic health record encoders.PubMed ↗
Lab researcherDavid Sontag
- MAGIC: an international network for evaluating generative artificial intelligence in global health.PubMed ↗
Lab researcherMarzyeh Ghassemi
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- Rapid patient-specific neural networks for X-ray to volume registration.PubMed ↗
Lab researcherPolina Golland
- Nucleic Acid Turnover and Lipid Remodeling Distinguish T Cell Activation and Exhaustion States via Label-Free Raman Spectroscopy.PubMed ↗
Lab researcherLoza Tadesse
- EmmaEmb: A quantitative framework for analyzing embedding spaces in molecular biology.PubMed ↗
Lab researcherConnor Coley
- PubMed ↗
- Emerald Touchless Sensor Quantifies Nighttime Scratching and Sleep Quality in Children With Atopic Dermatitis: PEDISTAD EMERALD Study.PubMed ↗
Lab researcherDina Katabi
- Uteroplacental Responses to Physiological Challenges Throughout Pregnancy Using MRI.PubMed ↗
Lab researcherPolina Golland
- Deep Learning-Based Assessment of Coronary Artery Morphologies for Predicting Responsiveness to Intravascular Lithotripsy.PubMed ↗
Lab researcherElazer Edelman
- Divergent impacts of explainable AI for dermatological diagnosis on clinicians versus lay people.PubMed ↗
Lab researchersMarzyeh GhassemiLuis Ruben Soenksen
- Identifying subsets of patients with retroperitoneal sarcoma who benefit from radiotherapy: an Interpretable AI reanalysis of the STRASS randomised trial.PubMed ↗
Lab researcherDimitris Bertsimas
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- A system capable of verifiably and privately screening global DNA synthesis.PubMed ↗
Lab researcherVinod Vaikuntanathan
- An overview of reaction outcome prediction with physics-based and data-driven methods.PubMed ↗
Lab researcherConnor Coley
NIH grants
Grants where NIH lists a lab researcher as contact principal investigator, one row per project.
Active · 3
- PROSPECT - Stem cell modelsActive
Lab researcherÖmer Yilmaz
- Nanotechnology MaterialsActive
Lab researcherÖmer Yilmaz
- A Label-Free Imaging Platform to Resolve Age- and Lineage-Specific Lipid–Mitochondrial Interactions in the Enteric Nervous SystemActive
Lab researcherSixian You
Ended · 6
- Personalized lesion modification optimizes atherosclerosis interventionEnded
Lab researcherElazer Edelman
- Developing an Objective and Quantifiable Measure of Itch Using Artificial Intelligence and Radio SignalsEnded
Lab researcherDina Katabi
- CRCNS: Resolving human face perception with novel MEG source localization methodsEnded
Lab researcherDimitrios Pantazis
- Informatics and Machine Learning Modules for Research Planning, Scheduling, Simulation, and Optimization in the ASPIRE Autonomous LaboratoryEnded
Lab researcherConnor Coley
- Accelerated discovery of synthetic polymers for ribonucleoprotein delivery through the integration of active learning, machine learning, and polymer scienceEnded
Lab researcherConnor Coley
- Capturing Patient-Provider Encounter through Text Speech and Dialogue ProcessingEnded
Lab researcherPeter Szolovits
Clinical-trial records
Health-AI trials that PubMed links to one of the lab’s papers.